How Are Visual SLAM and LiDAR Used in Robotic Navigation: The navigation system is a critical component of all sorts of robotic applications, and it is one of the most complex. The major function of this system is to assist robots and other autonomous devices in sensing and mapping their environment so that they may travel efficiently from one location to another. In the majority of situations, these devices make use of a motion sensor in conjunction with a software application to generate a map. LiDAR and Visual SLAM are two technologies that are employed in robotic navigation, and we will discuss them in this post. Please continue reading.
Simplified localization and mapping (SLAM) is an abbreviation for this process. The system’s primary function is to detect the location and orientation of a robot by creating a map of the surrounding environment and analysing it. At the same time, the system keeps track of where the map is in relation to the surrounding environment. The vast majority of the systems rely on optical sensors, such as LiDAR and Visual SLAM, to function.
What is Visual SLAM and how does it work?
These systems make use of a camera that communicates with an inertial measurement unit (IMU). Visual-Inertial Odometry is the term used to describe this combination. The word “odometry” refers to the utilisation of motion sensor data in order to get a more accurate assessment after a robot’s location changes over time as a result of the passage of time. SLAM navigation may be carried out both inside and outdoors.
The tracking of set points is accomplished in the majority of visual SLAM systems by the use of subsequent camera frames. The concept behind feature point triangulation is to triangulate the 3D location, which is also known as 3D position triangulation. Furthermore, this information is relayed back to the server in order to create a 3D map and pinpoint the position of the autonomous device.
Aside from that, an IMU has been deployed to expedite the feature point tracking process. Special technologies, such as flight-based robotics and drones, need even more attention to detail in this regard. Once the robot has completed the process of localization and mapping using SLAM, it will be much simpler for it to choose a navigation route.
What exactly is LiDAR?
This sort of technology maps a room by using a laser sensor in combination with an inertial measurement unit (IMU). This is accomplished in the same way as visual SLAM, but the precision is far higher. In reality, LiDAR is used to determine the distance between two objects, such as a chair leg or a wall, by measuring the distance between them. This is accomplished by lighting the item with a number of transceivers at the same time.
Given the fact that light travels at an exceptionally quick pace, precise measurement performance is essential in order to monitor the exact distance to the target with pinpoint accuracy. This is what distinguishes LiDAR as a superior option in terms of accuracy and speed over other technologies.
Choosing the Most Appropriate Navigation Method
If you are having trouble deciding on the best navigation system for your application, we recommend that you have a look at some of the most typical issues encountered in the field of robotics. These devices are utilised on a variety of various kinds of surfaces and walkways, including concrete. For example, a robotic cleaner may be used on drugs, tiles, and hardwood floors alike. As a result, the initial necessity is accurate location-based information. After all, these gadgets can only be employed if they are capable of navigating in a room with a high concentration of obstacles.
It is feasible to overcome these difficulties with the aid of LiDAR and visual SLAM. Another advantage is that it may be completed in a short period of time while maintaining high accuracy. In addition, the price is reasonable. That is, visual SLAM is quite inexpensive and does not need the purchase of costly equipment.
To put it simply, here is how LiDAR and Visual SLAM are employed in the realm of robotic navigation and control.
In terms of simultaneous localization and mapping, it is very beneficial to businesses that manufacture autonomous equipment, such as robots and drones. There are a large number of firms that specialise in simultaneous localization and mapping in this area.